This new edition of the successful multi-disciplinary text Statistical Modelling in GLIM takes
into account new developments in both statistical software and statistical modeling …

An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework
for statistical modelling, with an emphasis on numerical and graphical methods. This new …

Bridging the gap between theory and practice for modern statistical model building,
Introduction to General and Generalized Linear Models presents likelihood-based …

Wide-Ranging Coverage of Parametric Modeling in Linear and Nonlinear Mixed Effects
Models Mixed Effects Models for the Population Approach: Models, Tasks, Methods and …

Categorical data analysis is a special area of generalised linear models, which has become
the most important area of statistical applications in many disciplines, from medicine to …

This manual describes how GLIM 4 may be used for statistical analysis in its most general
sense, including data manipulation and display, model fitting, and prediction. This is a …

Applying Generalized Linear Models describes how generalized linear modelling
procedures can be used for statistical modelling in many different fields, without becoming …

The availability of powerful computing methods in recent decades has thrust linear and
nonlinear mixed models into the mainstream of statistical application. This volume offers a …

Kniha je zaměřena na regresní modely, konkrétně jednorozměrné zobecněné lineární
modely (GLM). Je určena především studentům a kolegům z biologických oborů a vyžaduje …

A valuable overview of the most important ideas and results in statistical modeling Written by
a highly-experienced author, Foundations of Linear and Generalized Linear Models is a …